This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced machine learning models into the design workflow, the book ... Read More
This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specifically denoising diffusion probabilistic models (DDPM). The proposed methodology provides a robust solution for generating circuit designs that meet specific performance constraints, offering a significant improvement over conventional techniques. By integrating advanced machine learning models into the design workflow, the book showcases a transformative way to streamline the process while maintaining accuracy and reliability. Read Less
Add this copy of Efficient Analog Integrated Circuit Sizing With Genai to cart. $42.25, new condition, Sold by Educational Media Centre rated 4.0 out of 5 stars, ships from New Delhi, DELHI, INDIA, published 2025 by Springer International Publishing AG.
Add this copy of Efficient Analog Integrated Circuit Sizing With Genai to cart. $45.95, new condition, Sold by Educational Media Centre rated 4.0 out of 5 stars, ships from New Delhi, DELHI, INDIA, published 2025 by Springer International Publishing AG.
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. SpringerBriefs in Applied Sciences and Technology ; . XVII, 78 p. 38 illus., 28 illus. in color. Intended for professional and scholarly audience.
